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Database of Condos

I made this Condo Database in 2015 because someone doing research and analysis needed a database of condos in Excel format and asked me if I can make it, he told me to scrap data from a website. I choose SingaporeExpats, later published the database here for sale in case other people doing similar research may be interested in purchasing it.

In 2016 did the same for PropertyGuru for another person needing more data, and also for BCA website to create Managing Agent database for people doing phone SMS marketing. Feel free to contact me for other web scraping projects!

SingaporeExpats condos

Condo database, directory of private properties in Singapore

Buy & download


Fields completion percentage
Condo name 100%
Condo address 100%
Property type 100%
District 100%
Developer 72.40%
Tenure 80.33%
Estimated TOP 74.65%
Number of units 71.56%
Description 98.43%
Facilities 61.31%
Nearest MRT 100%
Nearest schools 100%

Update list
Oct 2015 – 2809 properties
Nov 2015 – 2810 properties
May 2016 – 3112 properties
April 2017 – 3112 properties, added 3 extra columns
in whole 2017 SingaporeExpats did not added any new condo, whenever they will update condo directory in the future… we don’t know!

PropertyGuru condos

Condo database, directory of private properties in Singapore

Buy & download


Fields completion percentage
Project Name 100.00%
Address 100.00%
Postal code 100.00%
District 100.00%
Project Type 99.97%
Developer 74.26%
Tenure 99.97%
Price 64.24%
PSF Price 63.50%
Completion Year 91.24%
# Of Floors 34.87%
Total Units 79.03%
Description 97.63%
Facilities & Amenities 70.48%
Nearest MRT Stations 99.29%
Nearest Schools 99.42%
Image URLs 65.74%
GPS coordinates 100.00%

Update list
Jul 2016 – 3176 properties
Jan 2017 – 3195 properties
Jun 2017 – 3195 properties
Jan 2018 – 3214 properties
Dec 2018 – 3252 properties

See data in action

Managing agent database

Management Corpoations and Managing Agent contact number

Buy & download


Fields completion percentage
MCST No 100%
UEN 100%
Date of MC Constitution 100%
Development Name 94.20%
Status 99.90%
Development Location 95.18%
MC Address 94.25%
MC Contact No 87.51%
Name of Managing Agent 84.20%
Managing Agent Contact No 75.65%

Update list
Jan 2017 – 4210 MCST
May 2017 – 4253 MCST
Aug 2017 – 4269 MCST
Nov 2017 – 4271 MCST
15 Jan 2018 – 3982 MCST
3 Apr 2018 – 4373 MCST
20 Sep 2018 – 4406 MCST
22 Feb 2019 – 4440 MCST
2 May 2019 – 4450 MCST
6 Jul 2019 – 4453 MCST

More than 1 month passed since last update? ASK for a new update! For best results please ask for update few days BEFORE the day you intend to do telemarketing


While the HDB Database is an original product “Made by Teoalida”, manually compiling data from multiple sources plus personal research, the Condo Database data belongs to SingaporeExpats and PropertyGuru websites, I do not recommend using this database in making websites. Feel free to use it for research and analysis purposes. I am NOT responsible for any copyright troubles you may face if you use their data commercially, making own website, etc. Please consider the price a fee for data scraping service from website rather than author of data.

See also my Terms and conditions.

Detailed data does exist for all major condos. Most old and small private apartments do not have number of units, TOP year, etc. There may be also small developments (less than 10 units) not included at all in both SingaporeExpats and PropertyGuru condo directories.

Description – Singapore Expats & Property Guru condo database

In 2009 I started making a database of all buildings in Singapore, for my personal research, sourcing condo name from map then digging various websites for details such as number of units (imagine how much time would take!). I abandoned the work in 2011 because it required too much effort to be done voluntarily.

In 2012 I published on website a sample of that database of all buildings and also a list of major condos, waiting for feedback to see does worth continuing the project, as paid service for professional use. Took 2 years to get feedback and realize what kind of data people are looking for, I revived the database in 2014 into a database of HDB buildings only, planning to start a separate database for condos, I posted a message in List of major condos page inviting people who are interested in a complete condo directory to contact me.

The first customer to contact me for condo database came only in September 2015, he purchased the HDB Database previously. Incidentally, in August 2015 I found tools that extract data from websites automatically, so I offered him 3 options: automatic data scraping from SingaporeExpats for $150 (2809 condos), automatic data scraping from PropertyGuru for $300 (3148 condos, a bit more details for each condo, such as postal code and number of floors), or manual data building, write condo names from onemap.sg then fill up details from above websites, for $1000 (this way would make most complete database). He said that is necessary to be very complete database, agreed with automatic scraping way, even told me specifically to scrap data from PropertyGuru, but this turned impossible because website display a CAPTCHA after every 10 pages accessed by scraping application. I ended in scraping SingaporeExpats.

SingaporeExpats is not a newsy website but a simple condo directory and it is lagging in terms of updates with latest condo launches, customer complained, and one of my friends (programmer) told me that can make in Visual Basic a custom scraping application for PropertyGuru, so I made him an offer. Programmer spend 2 weeks until he found a way to deal with CAPTCHA but charged me $300 for this, customer did not replied, after a month and multiple email he said that do not want to pay extra fee (despite that he asked initially to scrap PropertyGuru).

I posted a message inviting people interested in PropertyGuru to contact me and pay 50% fee in advance. Someone paid in July 2016 and programmer made a new scraping application. I get a CAPTCHA page every 10-50 pages which I solve myself in order for scraper to continue.

PropertyGuru website was redesigned in June 2018 making scraper obsolete, I asked my programmer to make a new scraper, but this time he was getting CAPTCHA on every single page so gave up. I contacted an Indian company who provide data mining services and they made a new scraper for PropertyGuru, using in-house human power to solve captchas, and gave me data only. I told them to include every possible data from website, including condo description, nearest MRT an schools, GPS coordinates, etc, increasing Excel file size from 2.4 to 10 MB.

I will update myself database manually adding new launched condos every few months, and once per year, ask Indian company to run scrap again all condos.

Description – Management corporation database

In August 2016 someone asked me for MCST and managing agent contact number, this info is available for FREE on www.bca.gov.sg/bcadata/MCST.xls, however he said that this Excel file is not updated and told me to scrap www.bca.gov.sg/plan_enquiry/mcst_usersearch.aspx, to get latest data, but he did not paid me. A second customer asked me to scrap same website in January 2017. Having 2 requests, i believe that more people will come so I made a scraper for BCA website.

Scraping all MCST numbers from 0001 to 5000 takes about 10 hours and it can be done anytime you need. Because most people buy this database for one-time use in telemarketing, database need to be updated at the time you are using it. Because few people asked me to update database promising to buy afterwards, but never bought it, if you request update you need to pay first and I will provide you the updated database next day!

Several people asked me if I have a database with MCST email addresses. bca.gov.sg do not provide email addresses (if you know other website that provide email addresses let me know). This because email marketing is NOT efficient. If you send 100 emails is likely to have 5 people reporting you as SPAM then nobody else will receive your emails in inbox. If you really want customers, do phone calls or SMS!

The biggest condos (over 800 apartments)

Name Planning area Address District Tenure TOP Units
D’leedon Bukit Timah 1 – 15 Leedon Heights 10 99-year 2014 1715
Melville Park Tampines 12 – 28 Simei Street 1 18 99-year 1996 1232
The Minton Hougang 2 – 14a Hougang Street 11 19 99-year 2014 1145
Reflections At Keppel Bay Bukit Merah 1 – 33 Keppel Bay View 4 99-year 2011 1129
The Sail @ Marina Bay Central Area 2, 6 Marina Boulevard 1 99-year 2008 1111
Bayshore Park Bedok (East Coast) 50 – 66 Bayshore Road 16 99-year 1986 1093
The Interlace Bukit Merah 180 – 226 Depot Road 4 99-year 2013 1040
The Bayshore Bedok (East Coast) 22 – 34 Bayshore Road 16 99-year 1999 1038
Mandarin Gardens Bedok (East Coast) 1 – 15 Siglap Road 15 99-year 1986 1000
Watertown Punggol 61 – 81 Punggol Central 19 99-year 2017 992
Caribbean At Keppel Bay Bukit Merah 4 – 46 Keppel Bay Drive 4 99-year 2004 969
Parc Oasis Jurong East 35 – 55 Jurong East Avenue 1 22 99-year 1995 950
Signature Park Bukit Timah 46a – 58 Toh Tuck Road 21 Freehold 1998 928
D’nest Pasir Ris 127 – 149 Pasir Ris Grove 18 99-year 2017 912
City Square Residences Kallang-Whampoa 2 – 14 Kitchener Link 8 Freehold 2009 910
Costa Del Sol Bedok (East Coast) 68 – 84 Bayshore Road 16 99-year 2003 906
The Palette Pasir Ris 101 – 123 Pasir Ris Grove 18 99-year 2016 892
A Treasure Trove Punggol 50 – 76 Punggol Walk 19 99-year 2015 882
Bartley Ridge Toa Payoh 30 – 46 Mount Vernon Road 19 99-year 2018 868
Eight Riversuites Kallang-Whampoa 2 – 48 Whampoa East 15 99-year 2016 862
Lakeshore Jurong West 29 – 33 Jurong West St 41 22 99-year 2007 841
La Fiesta Sengkang 50 – 74 Sengkang Square 19 99-year 2017 810

Singapore condo facts

Private properties are leasehold (99 or 999 years) or freehold. First condominium was built in 1974, few condominiums were built until early 1990 and they were aimed to high income people, the apartment sizes were approximately double than HDB ones. Meantime non-condo private apartments did existed, without poll, guards or other condo facilities, aimed to middle class, priced like top-end HDB flats, there is no much info about their apartment sizes.

Since mid-1990s more and more condominium projects were launched, most of them are aimed to middle class, so the apartment sizes are comparable with HDB ones, while non-condo private developments became rare. Like HDBs, condos were downsized too after 2000, some being even smaller than HDB. The difference is made by facilities: security guards, swimming pools, tennis courts… which leads to a bigger price than public housing.Singapore risk to become a second Hong Kong! Since 2009 there is a strange trend of “shoebox apartments” denoting the flats under 500 square feet, and developers are desperate to fit as many units possible, sometimes making units with view to small courtyards.

According insing.com the private condos have been shrunk from 121 sqm in Q1 2010 to 93 sqm in Q1 2013, while executive condos have been growth a little.
According ST Property the average size is is 667 sq ft = 62 sqm.
According PropertyGuru average size to estimate number of units in government land sales programme is 85 sqm and for EC is 100 sqm, as 2012.
Where is the truth? Did someone included landed houses and other did not?

Smallest apartment in Singapore is 24 sqm (258 sq ft), 4 units in Suites @ Guillemard. All other studio apartments are 35+ sqm and have separate bed area. This because of URA which regulate minimum apartment size. However we need regulations of minimum apartment size for each number of rooms, to prevent extremely crowded condos like in the following examples:

Alexis Condo, 1-bedroom 36 sqm, 1-bedroom+study 47 sqm, 2-bedroom 56 sqm, very crowded layout, some apartments have no view.
Tree Scape @ Telok Kurau (site dead), 1-bedroom+study 40 sqm , 2-bedroom 49 sqm, 3-bedroom 56-65 sqm, 4-bedroom 84 sqm.
Natura @ Hillview (site dead), 1-bedroom 42 sqm, 2-bedroom 48-50 sqm, 3-bedroom 59-61 sqm, bedrooms sized like in Hong Kong (2×2 m).

The first condos

Condo is defined by having pool and other shared facilities (unlike normal Apartment).
First condo: The Beverly Mai, Thomson Road, built 1974
First condo with private lifts: Futura, 14 Leonie Hill Road, built 1976
First condo with parking on each floor, living room parking bay: Hamilton Scotts, 37 Scotts Road, built 2012. See video how the parking works.

The biggest apartments

Here are some examples found by me, with biggest regular 3/4-bedroom apartment sizes. Condos having one huge penthouse all other apartments small are not included.

The list was compiled in 2013. Since 2015 SingaporeExpats no longer show unit types and their floor areas… sadly.

Arcadia Garden (1983): 3 bedrooms 322 – 347 sq m, 4 bedrooms 345 – 434 sq m, Maisonette 610 sq m, Penthouse 697 sq m.
Fontana Heights (1985): 4 bedrooms 321 – 442 sq m, Penthouse 1102 sq m.
The Claymore (1985): 3 bedrooms 249 sq m, 4 bedrooms 311 sq m, Penthouse 457 sq m.
Astrid Meadows (1990): 3 bedrooms 180 – 240 sq m, 4 bedrooms 247 – 354 sq m, Penthouse 622 sq m.
Ardmore Park (2001): 4 bedrooms 268 sq m, Penthouse 812 sq m.
Grange Residences (2004) 4+1 bedrooms 2600 – 2853 sq ft.
Dairy Farm Estate (1989): 3 bedrooms: 181 – 205 sq m, Maisonette: 148 – 217 sq m.
Hillcrest Arcadia (1980): 3 bedrooms 132 – 183 sq m, Maisonette 255 – 269 sq m, Penthouse 213 – 235 sq m.

Also: Cairnhill Crest supposedly having 7 bedroom maisonettes… while all others apartments of Singapore have max 4-5 bedrooms. I would like to see an actual floor plan…

Looking for Singapore condo floor plans and sale brochures? Visit sgfloorplans.com


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    • shanu pritee on February 18, 2019 at 4:01 am
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    • shanu pritee on February 18, 2019 at 4:03 am
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    1. Your comment looks like SPAM, and posting an indian phone number on a page about Singapore, why do you want me to call you?

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    • Duh on May 11, 2019 at 8:21 am
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    Why should I pay you for the condo database when I can get it free from data.gov.sg? duh …..

    1. I have same question, why do people PAY ME to scrap data from https://www.bca.gov.sg/plan_enquiry/mcst_usersearch.aspx when above article also contains link to free Excel file https://www.bca.gov.sg/bcadata/MCST.xls ?

      Most likely because it is outdated and the only way to get up-to-date phone numbers is to scrap from MCST enquiry. And they are big companies ready to pay $$ for web scraping service.

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